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Scalable scheduling of energy control systems

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Scalable scheduling of energy control systems

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Optimization based approach to assist the transition of large energy users to low temperature networks

Force and Shape Control Strategies for Minimum Energy Adaptive Structures

An Input–Output Parametrization of Stabilizing Controllers: Amidst Youla and System Level Synthesis

Minimum Energy Adaptive Structures – All-In-One Problem Implementation

Integrating Heuristic and Machine-Learning Methods for Efficient Virtual Machine Allocation in Data Centers

Hierarchical control of heterogeneous large-scale urban road networks via path assignment and regional route guidance

Data-driven Demand Response Modeling and Control of Buildings with Gaussian Processes

The Linear Programming Approach to Reach-Avoid Problems for Markov Decision Processes

Optimal Representations for Adaptive Streaming in Interactive Multiview Video Systems

Integrating Heuristic and Machine-Learning Methods for Efficient Virtual Machine Allocation in Data Centers

Force and Shape Control Strategies for Minimum Energy Adaptive Structures

The Linear Programming Approach to Reach-Avoid Problems for Markov Decision Processes

An Input–Output Parametrization of Stabilizing Controllers: Amidst Youla and System Level Synthesis

Data-driven Demand Response Modeling and Control of Buildings with Gaussian Processes

Minimum Energy Adaptive Structures – All-In-One Problem Implementation

Optimization based approach to assist the transition of large energy users to low temperature networks

Integrating Heuristic and Machine-Learning Methods for Efficient Virtual Machine Allocation in Data Centers

Integrating Heuristic and Machine-Learning Methods for Efficient Virtual Machine Allocation in Data Centers

Hierarchical control of heterogeneous large-scale urban road networks via path assignment and regional route guidance

Optimal Representations for Adaptive Streaming in Interactive Multiview Video Systems